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Amara Tariq
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Cited by
Year
Systematic review of generative adversarial networks (GANs) for medical image classification and segmentation
JJ Jeong, A Tariq, T Adejumo, H Trivedi, JW Gichoya, I Banerjee
Journal of Digital Imaging 35 (2), 137-152, 2022
672022
A context-driven extractive framework for generating realistic image descriptions
A Tariq, H Foroosh
IEEE Transactions on Image Processing 26 (2), 619-632, 2016
532016
Comparative study of deep learning algorithms for disease and pest detection in rice crops
SA Burhan, S Minhas, A Tariq, MN Hassan
2020 12th International Conference on Electronics, Computers and Artificial …, 2020
472020
Current clinical applications of artificial intelligence in radiology and their best supporting evidence
A Tariq, S Purkayastha, GP Padmanaban, E Krupinski, H Trivedi, ...
Journal of the American College of Radiology 17 (11), 1371-1381, 2020
452020
Feature-independent context estimation for automatic image annotation
A Tariq, H Foroosh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
442015
Exploiting topical perceptions over multi-lingual text for hashtag suggestion on twitter
A Tariq, A Karim, F Gomez, H Foroosh
The Twenty-Sixth International FLAIRS Conference, 2013
342013
Patient-specific COVID-19 resource utilization prediction using fusion AI model
A Tariq, LA Celi, JM Newsome, S Purkayastha, NK Bhatia, H Trivedi, ...
NPJ digital medicine 4 (1), 94, 2021
242021
A socio-technical approach for resilient connected transportation systems in smart cities
T Roy, A Tariq, S Dey
IEEE Transactions on Intelligent Transportation Systems 23 (6), 5019-5028, 2021
192021
Scene-based automatic image annotation
A Tariq, H Foroosh
2014 IEEE International Conference on Image Processing (ICIP), 3047-3051, 2014
192014
Automatic classification of cancer pathology reports: a systematic review
T Santos, A Tariq, JW Gichoya, H Trivedi, I Banerjee
Journal of Pathology Informatics 13, 100003, 2022
152022
Weakly supervised temporal model for prediction of breast cancer distant recurrence
J Sanyal, A Tariq, AW Kurian, D Rubin, I Banerjee
Scientific reports 11 (1), 9461, 2021
142021
T-clustering: Image clustering by tensor decomposition
A Tariq, H Foroosh
2015 IEEE International Conference on Image Processing (ICIP), 4803-4807, 2015
142015
Nelasso: Building named entity relationship networks using sparse structured learning
A Tariq, A Karim, H Foroosh
IEEE Trans. on on Pattern Analysis and Machine Intelligence, 2017
132017
PathologyBERT-pre-trained vs. a new transformer language model for pathology domain
T Santos, A Tariq, S Das, K Vayalpati, GH Smith, H Trivedi, I Banerjee
AMIA Annual Symposium Proceedings 2022, 962, 2022
102022
Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks
S Tang, A Tariq, JA Dunnmon, U Sharma, P Elugunti, DL Rubin, BN Patel, ...
IEEE Journal of Biomedical and Health Informatics 27 (4), 2071-2082, 2023
92023
Was there COVID-19 back in 2012? Challenge for AI in diagnosis with similar indications
I Banerjee, P Sinha, S Purkayastha, N Mashhaditafreshi, A Tariq, J Jeong, ...
arXiv preprint arXiv:2006.13262, 2020
82020
Fast supervised feature extraction by term discrimination information pooling
A Tariq, A Karim
Proceedings of the 20th ACM international conference on Information and …, 2011
82011
Designing a symmetric classifier for image annotation using multi-layer sparse coding
A Tariq, H Foroosh
Image and Vision Computing 69, 33-43, 2018
72018
Recurrent neural networks (RNNs): architectures, training tricks, and introduction to influential research
S Das, A Tariq, T Santos, SS Kantareddy, I Banerjee
Machine Learning for Brain Disorders, 117-138, 2023
52023
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission
S Tang, A Tariq, J Dunnmon, U Sharma, P Elugunti, D Rubin, BN Patel, ...
arXiv preprint arXiv:2204.06766, 2022
42022
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Articles 1–20